Title :
Harmonic estimation with random sensor delay
Author :
Wu, Ping ; Yaz, Edwin E. ; Olejniczak, Kraig J.
Author_Institution :
Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA
Abstract :
A nonstationary discrete-time model is used for representing the harmonic components of nonsinusoidal signals observed in electric power systems. The signal measurement devices are assumed to possess a random delay that introduces stochastic parameters into the dynamic model used in estimation. A finite-time, linear, unbiased, reduced-order, minimum-variance state estimator is applied to predict the future behavior of this model. This is desired in order to annihilate the harmonic components which pollute the 50/60 Hz fundamental frequency in the electric power system
Keywords :
delays; discrete time systems; power system harmonics; random processes; state estimation; 50 to 60 Hz; electric power systems; finite-time linear unbiased reduced-order minimum-variance state estimator; harmonic estimation; nonsinusoidal signals; nonstationary discrete-time model; random delay; random sensor delay; signal measurement devices; stochastic parameters; Delay estimation; Electronic mail; Equations; Frequency; Noise measurement; Pollution measurement; Power system harmonics; Power system modeling; State estimation; White noise;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657693
